Downloead Free eBook: 6 Brilliant Sales Leader Dashboards

Sign up for the latest articles, product news and event invites.

    By providing your email you agree to our Privacy Policy.

    How Kopinor is putting data to work for members

    Kopinor licences the use of copyright protected works on behalf of authors and publishers. The organisation manages agreements and reimbursements between 22 members organisations including 5 publishers’ associations and 17 authors’ associations.

    With effective use of data and business analytics, Kopinor is making processes run smoothly for its members.

    Meet Tom…

    Tom Karlsen is System Administrator at Kopinor.

    In addition to managing and maintaining systems, he also looks for new ways to improve data quality and workflows. He wants to help colleagues effectively serve Kopinor members.

    We asked him what he’s been working on and why business analytics is important to Kopinor.

    Here’s what he said:

    Millions of records captured in CRM and ERP systems

    Data is the foundation for much of what we do.

    Our ERP and CRM systems capture millions of values about copyright holders, licenses, agreements, collections, payments, rights, obligations, and other details.

    These systems help us effectively manage agreements and reimbursements between 22 members organisations including 5 publishers’ associations and 17 authors’ associations. Last year, we distributed NOK 280 million to Norwegian and foreign rightsholders.

    I’m part of the team that’s responsible for system optimisation and data management. We ‘re continually examining data capture and information flows and asking ourselves:

    • How can we make processes more effective?
    • What data and insights do we need in order to best serve our members?
    • How can we access information in the best way?

    There’s a long list of projects we are currently working on.

    Issues with system upgrades

    We’ve made some significant changes during the past 6 months because we ran into issues when we upgraded software. This got to be a real headache.

    We had 12 smaller components working together to input or exchange data with SuperOffice CRM and our ERP system. The set-up was too complex with too many moving pieces.

    To solve this issue, we eliminated extra components and added input fields directly within SuperOffice. Then we looked for a clever way to extract data from our systems and organize it for different goals, roles or tasks.

    We  chose Business Analyze and introduced it to users. Business Analyze extracts relevant data and sorts or filters it into lists and reports. The results are displayed on dashboards.

    In some cases, we also embedded dashboard reports back into SuperOffice. What better way is there to access information and keep on top of things when you already use SuperOffice?

    More efficient with business analytics

    Business analytics help us work effectively. We distribute relevant insight to different parts of the organisation in seconds. Without analytics we couldn’t serve our members as quickly.

    Our leaders use Business Analyze to monitor key targets and guide overall business management. We used to have 30% response rate when we sent members one specific type of mail request, for example, but we now we have 80%.

    Our consultants use Business Analyze dashboards as part of their daily work. They see important information about member agreements and can answer questions fast,  without running long queries or searching through databases.

    We have dashboards for:

    1. Control purposes – for example to ensure accurate reimbursement or invoicing according to agreement terms. We run queries directly to Visma ERP.
    2. Workflow efficiency – we use dynamic work lists so people know what stage a task is in and what is on their ‘to-do-list’
    3. Goal tracking – measure goals like how many mail responses we receive back (return rate)

     

    This ‘self-service’ dashboard is set-up so users can quickly answer questions about members, processes and renumeration without having to login to different systems or understand how they work.

    Business Analyze has made a big difference. We rely on it to tell us the status of almost anything! As long as we have the data, it tells us the answer.

     

    About Kopinor
    Kopinor licences the use of copyright protected works on behalf of authors and publishers.

    Industry: Information Sector
    IT Systems: SuperOffice CRM, Visma Business ERP, Emarketeer, Business Analyze
    IT Partner: Ganske Enkelt

    www.kopinor.no

    Sign up for the latest articles, product news and event invites.

      By providing your email you agree to our Privacy Policy.

      Business Analyze and i-Centrum partner to deliver business analytics for Swedish B2B companies

      Oslo and Gothenburg May 8, 2109

      SaaS business analytics platform provider Business Analyze and Swedish CRM specialists i-Centrum, announce today their partnership to provide fast and effective business analytic solutions to B2B organisations across Sweden.

      By combining data analytics and visualisation technology with consulting expertise, the companies will offer increased value to current customers and growth-seeking B2B organisations.

      The new partnership will help businesses use data to optimise processes, generate revenues and improve sales, marketing and customer experiences.

      “We’re very glad that i-Centrum will be our local sales, consulting and implementation partner. We believe the two organisations have an exciting match of comptence and cultures that will benefit customers,” says Einar Gynnild, CEO at Business Analyze.

      “Last year we started ramping up in Denmark to meet steadily increasing demand for business analytics. Now, by partnering with i-Centrum, we will be better able to serve Swedish organisations. Our goal is to be the leading provider of business analytics in Northern Europe.”

      Business Analyze reported 77% growth in demand for its cloud analytics solution in 2018. As more processes move online with greater speed, businesses use analytic dashboards, scoreboards and reporting tools to gain fast answers to questions about customers, behavior, and performance – across business units and functions.

      “Business analytics is an important part of our service offering. We are excited about this partnership because what Business Analyze offers is different than any other analytics platform,” says Filip Vanthöm, CEO at i-Centrum.

      “On one hand, it is closely woven together with SuperOffice, enabling our existing CRM customers to plug into it and gain new perspectives in as little as seconds. On the other hand, it connects to many other well-known data sources and is easily adapted to unique user cases. We look forward to many new projects.”

      Business Analyze and i-Centrum invite customers and CRM enthusiasts to explore the power of analytics and join us at SuperOffice Market Expo 2019.  This will be a day to celebrate partnerships, share experiences and learn about developments in CRM, data analytics and digitalization.  We will be hosting product demonstrations throughout the day and are proud sponsors of this upcoming event.

      www.businessanalyze.com

      www.i-centrum.se

      Contacts


      Einar Gynnild, CEO at Business Analyze
      einar.gynnild@businessanalyze.com
      Tel: +47 993 50 760

      Filip Vanthöm, CEO i-Centrum AB
      filip.vanthom@i-centrum.se
      Tel: +46 704 19 99 60

      Sign up for the latest articles, product news and event invites.

        By providing your email you agree to our Privacy Policy.

        Net Promoter Score Dashboards

        Do you measure Net Promoter Score? Are you planning to measure customer loyalty soon?

        Sending out a survey is a great start, but having effective tools and processes in place to drive loyalty is equally important.

        Scores are calculated as data flows in

        Dashboards help you get the most out of your efforts because they calculate net promoter score on an ongoing basis – and make customer feedback immediately visible for the organization.

        As data flows in, it’s available for leaders, managers and customer-facing teams.

        Dashboards replace manual scoring and data analysis, and they helps organizations build a customer-centric culture.

        If NPS is one of several customer satisfaction metrics, it’s possible to group metrics on dashboards and analyze relationships between data.

        Customer-facing teams receive instant survey feedback and can follow up in a organized and timely-manner.

        Senior leaders and other stakeholders stay close to customers and can faster adapt strategies to increase growth or reduce churn.

        Example dashboard

        Let’s assume you want to share Net Promoter Scores and build internal engagement around your NPS program. How could this look?

        In the report above, the key customer feedback is presented in a clear and concise manner.

        There are several levels of detail and various types of graphs. Each component in a dashboard should be tailored to the needs of a specific person and role.

        This dashboard includes a series of filters, which enable users to compare and analyze data for different groups or segments. By uncovering patterns in the data, organizations can better understand what customers want and adapt their strategies to fit.

        Some organizations stream NPS scores and highight positive customer sentiment on office TV screens. Keeping customer needs top of mind amongst employees, may, in some cases, be just as important as increasing score by one or two percent.

        If you connect NPS data to CRM data, there is usually more options for easier workflow and automation. You can use CRM data to answer questions like: ‘Which customer type is most likely to recommend our product?’ or ‘What sales channel gets the highest score?’ If you ask more questions, you can add these and dig deeper into what customers do or do not like.

        Are you ready to get started?

        The first step is to connect your survey data to Business Analyze. Data may be gathered by email or forms through CRM systems like SuperOffice or other customer feedback tools.

        Our experienced consultants will be happy to discuss your requirements and show you examples. Contact us or send an email to sales@businessanalyze.com

        NPS®, Net Promoter® is registered trademarks Bain & Company and Fred Reichheld

        Sign up for the latest articles, product news and event invites.

          By providing your email you agree to our Privacy Policy.

          3 Steps to Data-driven Sales Coaching

          Christoffer Bergstrøm, Sales Director at House of Control, discusses the impact of data-driven sales coaching.

          More than 100 people recently registered for our webinar ‘How to sell more with data-driven sales coaching.’ Since this topic was so popular, we’ve summarized the takeways into 3 steps. Each step includes sales KPI’s you can use to measure effectiveness in the sales process and identify areas of improvement.

           Why data-driven sales coaching?

          Being ‘data-driven’ means having a systematic approach to sales coaching based on quantitative sales metrics. Instead of starting coaching sessions with a general feeling about how things are going, each session starts with clear, measurable expectations that both parties agree on. From there, you systematically review what’s happened and plan next steps, developing one area at a time.

          From a coaches perspective, a data-driven approach makes coaching easier and more effective. Not only will you help reps hit their targets in the short run, you help them develop a better understanding what they can do, on their own, to be more successful in the long-run.

          From a sellers perspective, data-driven sales coaching is easy to understand. There’s no ‘fluffy’ terms or uncertainty. Every goal is measured and sellers can take control of their own development, without being forced to rely on anyone else.

          Keys to success

          Data-driven sales coaching employs well-known, but sometimes overlooked techniques:

          • Base coaching on measurements and actions that increase sales
          • Recognize sale performances to reinforce desired behaviors
          • Coach often – set fixed times for meetings

          Before you start, it’s important to clearly define your sales process and ensure the process is set-up correctly in your CRM system. There should be one process per sales type.

          If your sales data is inaccurate or poor quality, don’t worry. As you and your teams use data, the quality will improve because all the parties see its advantage. It’s a ‘win-win’ situation.

          Step 1: Determine what is required to reach budget

          A good starting point for coaching discussions is to agree personal targets with sales reps. This is often a revenue target they should reach per month, but it may also be other relevant targets such as new leads, upsales, cross-sales, margins etc. With the end goal in sight, you can reach a common understanding of what it will take to reach that goal.

          If your goal is 100,000 in revenue for the month, for example, work backwards with the sales rep to see how that can be acheived.

          This includes knowing:

          • How many leads needs to be in the pipeline to hit the target?
          • How many new opportunities need to come into the pipeline (refill requirements)?

          You can also measure hit rates, average deal size and lead time (average length of sales cycle) to develop a better understanding of what factors have the greatest impact on revenues and where to focus you efforts.

          Once pipeline requirements are established, each sales rep has their own roadmap. This makes it easier to control what’s happening and make adjustments. It’s better to know there are too few new opportunities before the end of the month, so there is time to do something about it.

          Step 2: Secure movement through the pipeline

          Coaching sessions often include a discussion of opportunities and activities in the sales process. The goal is to uncover specific actions or steps the sales reps can take convert a prospect to a customer.

          In this case it’s important to have accurate and readily available information about customers in specifics stages of the sales process and the activities during that stage. This includes:

          • A list of new agreements have been won because it’s encouraging to start with reviewing key wins and the factors that led to success.
          • A list of opportunities that are within reach because these deserve focus and attention.
          • A list of planned activities to ensure that no potential customers are forgotten.

          Additionaly types of activity reports based on information in your CRM system can help you spot where there are issues or opportunities to followed up. This may be:

          1. Cases without a planned activity. e.g. email, phone call, new meeting.
          2. Cases that have an activity planned, but the plan hasn’t been followed.
          3. Time to action – how long it takes to follow up a leads or response to inquiries

          With good information, it’s easier to prioritize the right customers and make the best use of time.

          Step 3: Evaluate and plan ahead

          The final step is to evaluate sales performance and look at long term developments. Even the best salespeople can have bad months. As a coach, you want to know whether it is a one-off occurance or whether there is a downward trend. With data-driven sales coaching, you can  analyze data to try to understand underlying reasons for change in results. This will help you do more of what’s working well and stop doing the things that aren’t.

          Some key reports used in analysis include:

          • 12 month revenue report
          • Win/loss reports – understand win/loss rates and reasons
          • Sales anaylsis per customer type or product segment – see whether reps are working strategically towards the right customer segments

          While there is certainly a mix of skills that are important to being a good sales coach, data can help you understand what the i whether you are moving in the right direction.

          Get your sales coaching reports

          Interested in learning more about how Business Analyze can help you coach reps to success? Contact us here 

           

           

          Sign up for the latest articles, product news and event invites.

            By providing your email you agree to our Privacy Policy.